We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
A Simple Method for the Fabrication of Silicon Inverted Pyramid Substrates for Surface-Enhanced Raman Spectroscopy
Summary
Researchers developed a simple, low-cost method using silver-assisted chemical etching to fabricate silicon inverted pyramid substrates for surface-enhanced Raman spectroscopy (SERS). SERS is one of the sensitive analytical tools used to detect and identify microplastics at very small particle sizes in environmental samples.
Silicon inverted pyramids have been shown to exhibit superior SERS properties compared to ortho-pyramids, yet low-cost, simple preparation processes are lacking at present. This study demonstrates a simple method, silver-assisted chemical etching combined with PVP, to construct silicon inverted pyramids with a uniform size distribution. Two types of Si substrates for surface-enhanced Raman spectroscopy (SERS) were prepared via silver nanoparticles deposited on the silicon inverted pyramids by electroless deposition and radiofrequency sputtering, respectively. The experiments were conducted using rhodamine 6G (R6G), methylene blue (MB) and amoxicillin (AMX) molecules to test the SERS properties of the Si substrates with inverted pyramids. The results indicate that the SERS substrates show high sensitivity to detect the above molecules. In particular, the sensitivity and reproducibility of the SERS substrates with a denser silver nanoparticle distribution, prepared by radiofrequency sputtering, are significantly higher than those of the electroless deposited substrates to detect R6G molecules. This study sheds light on a potential low-cost and stable method for preparing silicon inverted pyramids, which is expected to replace the costly commercial Klarite SERS substrates.
Sign in to start a discussion.
More Papers Like This
Advanced microplastic monitoring using Raman spectroscopy with a combination of nanostructure-based substrates
Researchers reviewed advances in Raman spectroscopy and surface-enhanced Raman scattering (SERS) — a technique that amplifies light signals using metallic nanostructures — for detecting micro- and nanoplastics at trace concentrations in environmental samples, highlighting new plasmonic materials, 3D substrates, and microfluidic chip platforms that enable on-site monitoring.
Fabrication of Bowl Array Surface-Enhanced Raman Scattering Substrates via Ag Nanoparticle Self-Assembly on Polymer UV-Imprinted Microbowls for Enhanced Raman Detection of Microplastics
Researchers fabricated bowl-array surface-enhanced Raman scattering substrates by depositing silver nanoparticles via self-assembly onto UV-imprinted polymer microbowls, creating 50-micrometre diameter bowl structures that combine SERS enhancement with light-trapping to enable highly sensitive detection of micrometer-sized microplastics.
Development of a simple SERS substrate for the detection of pollutants and nanoplastics
Researchers fabricated silver- and gold-coated silicon SERS substrates and demonstrated their ability to detect nanoplastic particles as small as 50 nm by Raman mapping, achieving picomolar sensitivity for model compounds and showing strong potential for environmental monitoring of nanoplastics in food and water.
LSP-SPP Coupling Structure Based on Three-Dimensional Patterned Sapphire Substrate for Surface Enhanced Raman Scattering Sensing
This paper is not relevant to microplastics research — it describes a surface-enhanced Raman scattering (SERS) sensor substrate fabricated using three-dimensional patterned sapphire and silver nanoparticles for chemical detection applications.
Efficient silver-based hybrid nano-assemblies for polystyrene nanoparticles SERS detection
Researchers built nanoscale silver-silicon hybrid platforms that can detect polystyrene nanoplastics using a technique called surface-enhanced Raman spectroscopy. The platforms achieved high sensitivity with detection limits in the microgram-per-milliliter range. The technology offers a promising approach for identifying nanoscale plastic particles that are too small for conventional detection methods.